Natalia Stakhanova, Ph.D.

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2007 Computer Science Iowa State University, Ames, IA, United States 
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Samik Basu grad student 2007 Iowa State
 (A framework for adaptive, cost -sensitive intrusion detection and response system.)
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Publications

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Jazi HH, Gonzalez H, Stakhanova N, et al. (2017) Detecting HTTP-based application layer DoS attacks on web servers in the presence of sampling Computer Networks. 121: 25-36
Mantas G, Stakhanova N, Gonzalez H, et al. (2015) Application-layer denial of service attacks: taxonomy and survey International Journal of Information and Computer Security. 7: 216-239
Chouchane R, Stakhanova N, Walenstein A, et al. (2013) Detecting machine-morphed malware variants via engine attribution Journal in Computer Virology. 9: 137-157
Stakhanova N, Strasburg C, Basu S, et al. (2012) Towards cost-sensitive assessment of intrusion response selection Journal of Computer Security. 20: 169-198
Stakhanova N, Basu S, Wong J. (2010) On the symbiosis of specification-based and anomaly-based detection Computers and Security. 29: 253-268
Strasburg C, Stakhanova N, Basu S, et al. (2009) Intrusion response cost assessment methodology Proceedings of the 4th International Symposium On Acm Symposium On Information, Computer and Communications Security, Asiaccs'09. 388-391
Strasburg C, Stakhanova N, Basu S, et al. (2009) A Framework for Cost Sensitive Assessment of Intrusion Response Selection Proceedings - International Computer Software and Applications Conference. 1: 355-360
Stakhanova N, Strasburg C, Basu S, et al. (2008) On evaluation of response cost for intrusion response systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5230: 390-391
Stakhanova N, Basu S, Wong J. (2007) A taxonomy of intrusion response systems International Journal of Information and Computer Security. 1: 169-184
Helmer G, Wong J, Slagell M, et al. (2007) Software fault tree and coloured Petri net based specification, design and implementation of agent-based intrusion detection systems International Journal of Information and Computer Security. 1: 109
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